The key electronic health record challenges that providers face in 2018 relate to security, interoperability, and physician burnout. Security breaches continue to plague the healthcare industry and reducing the benefits of EHRs. Achieving true interoperability between health systems is difficult due to a lack of standardization and high costs. Physician burnout is also a major problem caused by the increased workload of maintaining patient records in EHR systems.
The healthcare industry is a perfect candidate for disruptive technology. Social media, cloud computing and mobile devices lead the way. However the transformation is not without its risks. This presentation looks at the top security risks of these technologies and how vendors can address them to increase adoption.
Data Collaboration in Healthcare -- presented at VLDB 2018Anand Deshpande
These are the slides from my VLDB 2018 presentation.
Shares what we are doing in healthcare and also shares research opportunities in data and healthcare.
Slide Presentation for the Week10 Activity of HI 201. Some of the pictures used in the presentation are from http://all-free-download.com/free-photos/.
The healthcare industry is a perfect candidate for disruptive technology. Social media, cloud computing and mobile devices lead the way. However the transformation is not without its risks. This presentation looks at the top security risks of these technologies and how vendors can address them to increase adoption.
Data Collaboration in Healthcare -- presented at VLDB 2018Anand Deshpande
These are the slides from my VLDB 2018 presentation.
Shares what we are doing in healthcare and also shares research opportunities in data and healthcare.
Slide Presentation for the Week10 Activity of HI 201. Some of the pictures used in the presentation are from http://all-free-download.com/free-photos/.
Transforming Healthcare with Big Data, Social and MobilePaul Brian Contino
IBM Insight 2014
Transforming Healthcare with Big Data, Social and Mobile.
Presenters : Sri Srinivasan, Paul Contino, Phani Konduru)
October 28th, 2014
Las Vegas, Nevada
In early 2015, in a forward-thinking article on Healthcare IT News, HIMSS Analytics identified 18 technologies with positive growth potential that were set to take hold in the industry. This predictive analysis utilized data on technology adoption from 2010 to 2014. HIMSS Analytics has analyzed the changes in buying intent from 2014 through 2015 and is making the analysis available. HIMSS Analytics correctly predicted 4 of the top 5 technologies planned for deployment in 2016. With 2015 behind us and another year’s worth of data at our fingertips, we’ll highlight changes in technology purchase plans by healthcare delivery organizations for 2016.
Director Rodriguez provides an overview to the new impact of the Omnibus HIPAA Rulemaking and highlights OCR’s commitment to enforcement, audit and education initiatives in the coming year.
Med Device Vendors Have Big Opportunities in Health IT Software, Services, an...Shahid Shah
If you’re in the medical device manufacturing or hardware sales business your revenue growth (CAGR) is under pressure like never before. You’re being asked to do more with less but you’re probably going to find that hard to accomplish because of one or more of the following challenges:
* Longer product development timelines caused by more FDA and other government regulations
* Increased demand by customers to have your devices deliver user experiences that are more like “consumer” devices such as cell phones and tablets
* Lower margins as a reaction to commodity competition (your sensor hardware business will be commoditized faster and faster over time)
* More complex and longer sales cycles because devices are now being approved for sale not by facilities and clinical executives alone but increasingly by CIOs and IT teams
* Increased cost of risk management and compliance caused by connectivity requirements
Any one of these challenges is difficult to meet but these days you’re probably being asked to meet more than one simultaneously. The solutions are not simple but the good news is that medical device manufacturers have many revenue generation opportunities today that can fund the new strategic imperatives you’ll need to put into place to meet the challenges listed above.
This briefing, presented by Netspective CEO Shahid Shah, describes some of the opportunities and how device vendors can take advantage of them.
Improving Care Coordination with Big Data, Analytics and Technology - Paul Co...Paul Brian Contino
Medical Informatics Update: Analytics and Tools for Care Coordination
IBM Thomas J Watson Research Center
October 16th, 2013
The 2013 edition of the Medical Informatics Update is a joint effort between IBM Research and the Columbia University Center for Advanced Information Management. The general chairs for this workshop are Dr. Shahram Ebadollahi and Dr. Georges Hripcsak.
The biggest opportunities in digital health for Turkey's Medical Sector Shahid Shah
This was presented at the Digital Health Summit Turkey 2014 in Istanbul. It is an American healthcare expert's viewpoint on what should matter to Turkey based on lessons from the USA. Designed for a mixed audience of providers, pharma, and bio entrepreneurs and executives.
This informative webinar features Brian Babineau, Senior Analyst from ESG, who discusses the data management challenges facing healthcare IT professionals. Jamie Clifton from BridgeHead Software concludes with a brief discussion of BridgeHead's healthcare data management solutions, including HEAT, an archiving appliance built with Sun Microsystems.
Clinical Narrative And Structured Data In The Ehr Venus And Mars Live In Harm...Nick van Terheyden
For nearly two decades healthcare technology has attempted to impose new documentation methods that are more suited to database management but do not meet the needs of the busy practicing physician. Conventional wisdom is that documents are bad and discrete data is good but historically clinicians have resisted efforts to establish structured data entry methodologies trying to replace the clinician preferred method of data capture – dictation. Clinical Document Architecture for Common Document Types (CDA4CDT) offers a bridge between the two opposing worlds of clinical documentation creating semantically interoperable data while retaining the precise clinical content contained in free flowing narrative
Improving Efficiency and Outcomes in Healthcare using Internet of ThingsCitiusTech
With the adoption of cloud and big data technologies, healthcare organizations are in a position to begin experimenting with IoT. Ranging from home care to smart facilities, there are many ways in which provider organizations can benefit by using IoT in their patient care workflows. E.g., a mobile app with patient geo-fencing capabilities can help optimize physician rounds by dynamically routing the physician to the nearest patient
Payers can leverage insights generated by IoT infrastructure to improve population health, increase patient awareness and reduce healthcare costs. Payers can also design more effective reward and retention programs using IoT generated data.
As IoT is evolving, adoption is slow but steady, and investments are being made by both startups and industry leaders. Healthcare is among the top 5 industries investing in IoT.
This document discusses how IoT can be leveraged to drive efficiency in healthcare workflows and enhance clinical outcomes.
Leveraging Big Data for Improving Population Health ManagementLeo Barella
Health Care reform redefined how individuals can obtain health insurance. Providers will receive incentives on positive outcomes which will lead to their increased interest in improving the health not only of the patients they visit in their offices but the patients they seldom see. The information available about their patients is growing rapidly and can be harvested from sources that are not typically linked to medical records. In this session you will learn about emerging sources of data and the use of advanced analytics that can lead to the proactive improvement of population health and wellness.
The healthcare industry has traditionally been one of the slowest fields to adopt new technologies. This has to do with the fears around security and the privacy of patient data. Healthcare companies have always preferred to keep data behind a secure firewall or even onsite as opposed to maintaining it on something as intangible as the cloud. Kairos tells you how the disruption happened in Healthcare
Ready or Not? Compliance in a World of New ModelsPYA, P.C.
PYA Consulting Manager Kristen Lilly recently co-presented “Ready or Not? Compliance in a World of New Models,” along with Fatema Zanzi, Esq., from Drinker Biddle & Reath.
In the presentation, they:
Discussed strategies for preventing, detecting, and enforcing basic compliance principles in a world of new models, such as accountable care organizations, bundled payments, and more.
Evaluated compliance considerations for new model drivers, such as quality and data analytics.
Explored incentive arrangements with patients.
Discussed how culture, quality, and human resources play a role in compliance.
Healthcare Interoperability: The Key to Leveraging Health TechMityung
Despite some setbacks, the digitalization of healthcare holds great promise for global health improvements. Health information technology (HIT) systems are taking over the healthcare industry.
For further information click here
https://www.mityung.com/
Transforming Healthcare with Big Data, Social and MobilePaul Brian Contino
IBM Insight 2014
Transforming Healthcare with Big Data, Social and Mobile.
Presenters : Sri Srinivasan, Paul Contino, Phani Konduru)
October 28th, 2014
Las Vegas, Nevada
In early 2015, in a forward-thinking article on Healthcare IT News, HIMSS Analytics identified 18 technologies with positive growth potential that were set to take hold in the industry. This predictive analysis utilized data on technology adoption from 2010 to 2014. HIMSS Analytics has analyzed the changes in buying intent from 2014 through 2015 and is making the analysis available. HIMSS Analytics correctly predicted 4 of the top 5 technologies planned for deployment in 2016. With 2015 behind us and another year’s worth of data at our fingertips, we’ll highlight changes in technology purchase plans by healthcare delivery organizations for 2016.
Director Rodriguez provides an overview to the new impact of the Omnibus HIPAA Rulemaking and highlights OCR’s commitment to enforcement, audit and education initiatives in the coming year.
Med Device Vendors Have Big Opportunities in Health IT Software, Services, an...Shahid Shah
If you’re in the medical device manufacturing or hardware sales business your revenue growth (CAGR) is under pressure like never before. You’re being asked to do more with less but you’re probably going to find that hard to accomplish because of one or more of the following challenges:
* Longer product development timelines caused by more FDA and other government regulations
* Increased demand by customers to have your devices deliver user experiences that are more like “consumer” devices such as cell phones and tablets
* Lower margins as a reaction to commodity competition (your sensor hardware business will be commoditized faster and faster over time)
* More complex and longer sales cycles because devices are now being approved for sale not by facilities and clinical executives alone but increasingly by CIOs and IT teams
* Increased cost of risk management and compliance caused by connectivity requirements
Any one of these challenges is difficult to meet but these days you’re probably being asked to meet more than one simultaneously. The solutions are not simple but the good news is that medical device manufacturers have many revenue generation opportunities today that can fund the new strategic imperatives you’ll need to put into place to meet the challenges listed above.
This briefing, presented by Netspective CEO Shahid Shah, describes some of the opportunities and how device vendors can take advantage of them.
Improving Care Coordination with Big Data, Analytics and Technology - Paul Co...Paul Brian Contino
Medical Informatics Update: Analytics and Tools for Care Coordination
IBM Thomas J Watson Research Center
October 16th, 2013
The 2013 edition of the Medical Informatics Update is a joint effort between IBM Research and the Columbia University Center for Advanced Information Management. The general chairs for this workshop are Dr. Shahram Ebadollahi and Dr. Georges Hripcsak.
The biggest opportunities in digital health for Turkey's Medical Sector Shahid Shah
This was presented at the Digital Health Summit Turkey 2014 in Istanbul. It is an American healthcare expert's viewpoint on what should matter to Turkey based on lessons from the USA. Designed for a mixed audience of providers, pharma, and bio entrepreneurs and executives.
This informative webinar features Brian Babineau, Senior Analyst from ESG, who discusses the data management challenges facing healthcare IT professionals. Jamie Clifton from BridgeHead Software concludes with a brief discussion of BridgeHead's healthcare data management solutions, including HEAT, an archiving appliance built with Sun Microsystems.
Clinical Narrative And Structured Data In The Ehr Venus And Mars Live In Harm...Nick van Terheyden
For nearly two decades healthcare technology has attempted to impose new documentation methods that are more suited to database management but do not meet the needs of the busy practicing physician. Conventional wisdom is that documents are bad and discrete data is good but historically clinicians have resisted efforts to establish structured data entry methodologies trying to replace the clinician preferred method of data capture – dictation. Clinical Document Architecture for Common Document Types (CDA4CDT) offers a bridge between the two opposing worlds of clinical documentation creating semantically interoperable data while retaining the precise clinical content contained in free flowing narrative
Improving Efficiency and Outcomes in Healthcare using Internet of ThingsCitiusTech
With the adoption of cloud and big data technologies, healthcare organizations are in a position to begin experimenting with IoT. Ranging from home care to smart facilities, there are many ways in which provider organizations can benefit by using IoT in their patient care workflows. E.g., a mobile app with patient geo-fencing capabilities can help optimize physician rounds by dynamically routing the physician to the nearest patient
Payers can leverage insights generated by IoT infrastructure to improve population health, increase patient awareness and reduce healthcare costs. Payers can also design more effective reward and retention programs using IoT generated data.
As IoT is evolving, adoption is slow but steady, and investments are being made by both startups and industry leaders. Healthcare is among the top 5 industries investing in IoT.
This document discusses how IoT can be leveraged to drive efficiency in healthcare workflows and enhance clinical outcomes.
Leveraging Big Data for Improving Population Health ManagementLeo Barella
Health Care reform redefined how individuals can obtain health insurance. Providers will receive incentives on positive outcomes which will lead to their increased interest in improving the health not only of the patients they visit in their offices but the patients they seldom see. The information available about their patients is growing rapidly and can be harvested from sources that are not typically linked to medical records. In this session you will learn about emerging sources of data and the use of advanced analytics that can lead to the proactive improvement of population health and wellness.
The healthcare industry has traditionally been one of the slowest fields to adopt new technologies. This has to do with the fears around security and the privacy of patient data. Healthcare companies have always preferred to keep data behind a secure firewall or even onsite as opposed to maintaining it on something as intangible as the cloud. Kairos tells you how the disruption happened in Healthcare
Ready or Not? Compliance in a World of New ModelsPYA, P.C.
PYA Consulting Manager Kristen Lilly recently co-presented “Ready or Not? Compliance in a World of New Models,” along with Fatema Zanzi, Esq., from Drinker Biddle & Reath.
In the presentation, they:
Discussed strategies for preventing, detecting, and enforcing basic compliance principles in a world of new models, such as accountable care organizations, bundled payments, and more.
Evaluated compliance considerations for new model drivers, such as quality and data analytics.
Explored incentive arrangements with patients.
Discussed how culture, quality, and human resources play a role in compliance.
Healthcare Interoperability: The Key to Leveraging Health TechMityung
Despite some setbacks, the digitalization of healthcare holds great promise for global health improvements. Health information technology (HIT) systems are taking over the healthcare industry.
For further information click here
https://www.mityung.com/
Electronic Health Records: purpose of electronic health records, popular electronic health record system, advantages of electronic records, challenges of electronic health records, the key players involved.
Healthcare Document Management Systems Market Size, Share, Growth Analysis & ...GQ Research
Global Healthcare Document Management Systems market was experiencing steady growth due to the increasing adoption of electronic health records (EHR) and the need for efficient data management in the healthcare industry.
Healthcare Document Management Systems Market Size, Share, Growth Analysis & ...GQ Research
Global Healthcare Document Management Systems market was experiencing steady growth due to the increasing adoption of electronic health records (EHR) and the need for efficient data management in the healthcare industry.
Modernizing Legacy Systems in Healthcare: A Comprehensive GuideLucy Zeniffer
Modernizing Legacy Systems in Healthcare: A Comprehensive Guide" offers practical insights into upgrading outdated healthcare technology. Exploring strategies, challenges, and benefits, this guide empowers healthcare professionals with the knowledge to navigate the complexities of system modernization. From enhancing efficiency to improving patient care, it provides a roadmap for embracing innovation in healthcare IT infrastructure.
EHR Integration: Achieving this Digital Health ImperativeHealth Catalyst
As the digital trajectory of healthcare rises, health systems have an array of new resources available to make more effective and timely care decisions. However, to use these data analytics, machine learning, predictive analytics, and wellness applications to gain real-time, data-driven insight at the point of care, health systems must fully integrate the tools with their EHRs. Integration brings technical and administrative challenges, requiring organizations to coordinate around standards, administrative processes, regulatory principles, and functional integration, as well as develop compelling integration use cases that drive demand. When realized, full EHR integration will allow clinicians to leverage data from across the continuum of care (from health plan to patient-generated data) to improve patient diagnosis and treatment.
The Transformative Power of Electronic Health Records.docxdoctorsbackoffice4
Evolution of Electronic Healthcare Records
The concept of electronic healthcare records emerged in response to the need for efficient data management and information exchange in healthcare settings. Historically, medical records were maintained in paper-based formats, posing challenges such as limited accessibility, storage constraints, and susceptibility to loss or damage.
Healthcare data and its impact upon the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Data-driven healthcare is beginning to have a huge impact addressing the challenges of every provider, through efficient handling of huge volumes of patient care data.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
The Evolution and Impact of Electronic Medical Records.docxdoctorsbackoffice4
In today's digital age, the healthcare industry is undergoing a significant transformation, propelled by technological advancements. One of the most notable innovations revolutionizing patient care and administrative processes is the adoption of Electronic Medical Records (EMRs) or Electronic Health Records (EHRs). These electronic systems have streamlined healthcare delivery, improved patient outcomes, and reshaped the landscape of medical practice. Let's delve deeper into the evolution, benefits, and challenges of electronic health records.
Him500 Milestone 3Precious Teasley Southern New SusanaFurman449
Him500 Milestone 3
Precious Teasley
Southern New Hampshire University
Him500
Professor Jon McKeeby
February 20,2022
Him500 Milestone 3
Organization Needs
Government laws and regulations have been broken because of Featherfall Medical Center's outdated technology. Staffs are not only out of date in terms of skills, but the technology itself is also outdated. Discrepancies in government regulations, operational problems, and ethical dilemmas stemming from poor technology implementation have all cost the organization money. Featherfall's technological needs have been whittled down to Alert (Admission, Discharge, and Transfer ADT') and Intel, two eligible vendors (SOA Expressway for Healthcare). These systems need to satisfy three key goals: to meet personnel demands, protect the integrity of healthcare, and meet government standards. Concerns about the expense of implementing and maintaining a new system are high because Featherfall contains consequences for earlier infractions. Choosing a new computer system for Featherfall Medical Center is the right decision. Due to legislative rules, the medical center's obsolete system has severely impacted the organization's finances. In addition, they have problems maintaining the accuracy of their medical records. Some sectors suffer from a lack of training and clear communication channels. The medical center's new system must meet HIPAA compliance rules, communicate effectively amongst itself, be user-friendly for the personnel, and be under governmental regulations to be accepted.
Technology System Recommendations
In my opinion, Intel is the best new technology for Featherfall Medical Center (SOA Expressway for Healthcare). For Featherfall Medical Center, I feel Intel is an attractive choice because the system is simple to use and can be rapidly adopted into regular tasks. The technology will also allow for more outstanding communication between the staff. It will be easier to manage patient care with Intel since the system will produce discharge and transfer lists. In addition, the system can produce records of patients by their doctors and patients by their departments. The system is password-protected and features multiple levels of security. HIPAA compliance has not yet been achieved, but UHDDS is in place and working as intended. The next release will meet HIPAA regulations (Durcevic, 2019). Because of Intel's size and wealth of knowledge, you can be assured that your health information is in good hands.
Financial Resources
Intel is more expensive than the Alert (ADT) system, but it has the greater experience. As a company around for 30 years, Intel has 364 medical systems in use. There was a total cost of $2,028,000 for Intel and $1,587,000 for Alert. Compared to Alert, Intel was $441,000 more expensive (SNHU, 2019). Featherfall Medical Center will benefit from Intel's knowledge and resources as a larger firm. System costs more, but it will help with compliance, ethics, and govern ...
6/29/2016 library.ahima.org/PB/DataStandards#appxA
http://library.ahima.org/PB/DataStandards#appxA 1/20
Data Standards, Data Quality, and Interoperability (2013
update)
Remove from myBoK
Editor's note: This update replaces the 2007 practice brief "Data Standards, Data Quality, and Interoperability."
Data quality and consistency are critical to ensuring patient safety, communicating delivery of health services, coordinating
care, and healthcare reporting. Assessing the quality and consistency of data requires data standards. This practice brief
provides health information management (HIM) professionals with a clear understanding of data standards as a tool to
enable interoperability and promote data quality.
The online version of this practice brief [...] is accompanied by an appendix that provides HIM professionals with a list of
standards to reference in data dictionary development, electronic health records, the exchange of health information, and
general data management processes to ensure information integrity and reliability. Evaluation of data validity, reliability,
completeness, and timeliness are accomplished through a combination of human and machine processes in healthcare, and
the list of data standard sources is a helpful reference guide when more detailed information is required.
Data Standards and Regulatory Framework
Data standards are "documented agreements on representations, formats, and definitions of common data. Data standards
provide a method to codify invalid, meaningful, comprehensive, and actionable ways, information captured in the course of
doing business." Rules to describe how the data is recorded to ensure consistency across multiple sources is another way to
think of data standards. Without data standards and data quality, the future of interoperability is bleak. Data fields and the
content of those fields need to be standardized.
Standards development organizations (SDOs) address a variety of aspects of health information and informatics. For
example, the American Society for Testing and Materials (ASTM) and Health Level Seven (HL7) target clinical data
standards. Insurance and remittance standards are a focus of the Accredited Standards Committee (ASC) X12. Standards to
transmit diagnostic images are developed through Digital Imaging and Communications in Medicine (DICOM). The
National Council for Prescription Drug Programs (NCPDP) represents pharmacy messages.
The Institute of Electrical and Electronics Engineers (IEEE), HL7, ASTM, and others develop data models and
frameworks. See the table on page 65 for a breakdown of regulatory agencies responsible for working with the American
National Standards Institute (ANSI) to drive data standards to achieve interoperability.
The AHIMA Leadership Model states that HIM professionals should serve as the leaders in healthcare organizations and in
their professional community for ensuring that data content standards are identified, understood, implemented, a.
6/29/2016 library.ahima.org/PB/DataStandards#appxA
http://library.ahima.org/PB/DataStandards#appxA 1/20
Data Standards, Data Quality, and Interoperability (2013
update)
Remove from myBoK
Editor's note: This update replaces the 2007 practice brief "Data Standards, Data Quality, and Interoperability."
Data quality and consistency are critical to ensuring patient safety, communicating delivery of health services, coordinating
care, and healthcare reporting. Assessing the quality and consistency of data requires data standards. This practice brief
provides health information management (HIM) professionals with a clear understanding of data standards as a tool to
enable interoperability and promote data quality.
The online version of this practice brief [...] is accompanied by an appendix that provides HIM professionals with a list of
standards to reference in data dictionary development, electronic health records, the exchange of health information, and
general data management processes to ensure information integrity and reliability. Evaluation of data validity, reliability,
completeness, and timeliness are accomplished through a combination of human and machine processes in healthcare, and
the list of data standard sources is a helpful reference guide when more detailed information is required.
Data Standards and Regulatory Framework
Data standards are "documented agreements on representations, formats, and definitions of common data. Data standards
provide a method to codify invalid, meaningful, comprehensive, and actionable ways, information captured in the course of
doing business." Rules to describe how the data is recorded to ensure consistency across multiple sources is another way to
think of data standards. Without data standards and data quality, the future of interoperability is bleak. Data fields and the
content of those fields need to be standardized.
Standards development organizations (SDOs) address a variety of aspects of health information and informatics. For
example, the American Society for Testing and Materials (ASTM) and Health Level Seven (HL7) target clinical data
standards. Insurance and remittance standards are a focus of the Accredited Standards Committee (ASC) X12. Standards to
transmit diagnostic images are developed through Digital Imaging and Communications in Medicine (DICOM). The
National Council for Prescription Drug Programs (NCPDP) represents pharmacy messages.
The Institute of Electrical and Electronics Engineers (IEEE), HL7, ASTM, and others develop data models and
frameworks. See the table on page 65 for a breakdown of regulatory agencies responsible for working with the American
National Standards Institute (ANSI) to drive data standards to achieve interoperability.
The AHIMA Leadership Model states that HIM professionals should serve as the leaders in healthcare organizations and in
their professional community for ensuring that data content standards are identified, understood, implemented, a ...
Similar to Overcoming Major Electronic Health Record (EHR) Challenges in 2018 (20)
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Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
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1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
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Exploring Patterns of Connection with Social Dreaming
Overcoming Major Electronic Health Record (EHR) Challenges in 2018
1. www.medicaltranscriptionservicecompany.com (800) 670 2809
Overcoming Major Electronic
Health Record (EHR)
Challenges in 2018
In 2018, the key electronic health
record challenges that providers face
relate to security, interoperability and
physician burnout.
MTS Transcription Services
United States
2. www.medicaltranscriptionservicecompany.com (800) 670 2809
According to a SK&A survey, in March 2017, 67% of all providers reported using an
electronic health record (EHR), a 1% increase over September 2016. As EHR adoption rates
increase across the nation, medical transcription companies continue to provide clinicians
with dedicated clinical documentation solutions to ease data entry hassles. However, recent
reports indicate that hospitals and health systems continue to face many problems related
to implementing, maintaining, and upgrading their EHRs. In 2018, the key EHR challenges
that providers face relate to security, interoperability and physician burnout. Let’s take a
look at these challenges and the solutions recommended by experts.
Cybersecurity: Cybersecurity is critical for health care data and information systems. The
shift from paper records to EHRs was meant to improve efficiency, safety, and patient care.
However, EHR security breaches continue to plague the healthcare industry and are reducing
the overall benefits of the EHR program.
In December 2017, Henry Ford Health System reported that the data of 18,470 patients
were compromised. A ransomware attack on Fayetteville-based Arkansas Oral Facial
Surgery Center in October potentially breached the data of 128,000 of its patients. In
addition to harming the healthcare organization reputation and compromising protected
health information (PHI), breaches are very expensive. Beckers Hospital Review reported
that breaches in the U.S. healthcare field cost $6.2 billion each year.
A 2015 white paper from Accusoft identified the top four EHR security and data challenges
as hacking, adoption, outdated technology, and lack of training. The paper suggests several
measures to address medical record data security concerns:
- Improving administrative controls: This includes password protection and encryption
while sharing EHR data. Administrative controls are necessary to strictly restrict
access to EHRs.
- Monitoring system access: EHR system administrators need to monitor and track
access so that unauthorized access can be quickly detected and addressed.
- Use of advanced document viewers: Integrating a secure and efficient document
viewer will make it possible to read and share documents such as medical and
financial records, insurance forms, physician’s’ orders, prescriptions, X-rays and lab
results, in any format.
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Other measures that security experts recommend to prevent data breaches in healthcare
include:
- Increasing investment in cyber security and setting up an advanced network security
system that can detect signs of compromise and quickly respond before the attack
starts.
- Conducting a HIPAA and HITECH annual security evaluation can reveal potential
threats
- Implementing up-to-date security measures and vet partners and third parties such
as medical transcription service providers to ensure that they also have proper
security systems in place
- Having one secure network exclusively for patient information.
- Providing on-going employee training on data security best practices in the
workplace.
- Securely destroying confidential electronic data
Interoperability: Healthcare IT News notes that the continued focus on interoperability is
another major challenge facing EHRs in 2018. Improved healthcare interoperability is a top
priority to coordinate care across various health settings nationwide. Efforts are being made
by the public and private sectors to allow seamless health data exchange between health IT
systems. Such interoperability is necessary to get the complete picture of a patient.
However, achieving true interoperability continues to be a major challenge.
In a 2017 HIT Intelligence report, Nebraska Medicine Vice President of IT Brian Lancaster
noted that lack of standardization and control over file sharing are major barriers to EHR
interoperability. Other challenges to interoperability include
- the growing volume of data from different sources and remote patient monitoring,
acquisitions
- huge costs involved in getting all of the IT systems to work together
- lack of proper payer participation in interoperable systems, and
- difficulties in creating automated work flows with partner organizations
In the Health IT News report, one expert recommends it should be mandated that all vendor
products meet interoperability standards and also making some standards simpler.
According to another expert, interoperability can succeed only if EHRs are open to accept
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data from outside resources such as daily living settings and nursing homes and also data
collected in daily living settings such as home, work, and restaurants.
The shift to value-based care in the healthcare industry is another problem. EHRs need to
be designed to incorporate value-based aspects in place of fee for service paradigms.
Clinician burnout: Burnout a major problem hounding physicians in recent years, caused
mainly by the increased workload that EHRs pose. Clinicians are finding it very difficult to
maintain and update patient records while providing care. Many studies have shown that
patient care and safety are at stake when providers get overwhelmed by the workflows to
manage EHRs.
Experts recommend that one way to overcome this challenge is have a team exclusively
focused on working with the staff and explain the workflow requirements, find shortcuts,
and inform EHR analysts about the issues they face. Medical transcription outsourcing is
also helping to address clinician burnout due to EHR data entry issues. Experienced
companies now provide HIPAA-compliant EHR-integrated documentation solutions for all
medical specialties.
EHRs are not going away and industry stakeholders need to step up their efforts to make
them work smoothly. Stringent cyber health laws and robust encrypted data storage and
exchange in EHR systems can prevent security issues and data breaches. Consumers as well
as physicians need to be educated on EHR usage and security. Improving EHR design to
meet evolving industry standards and new requirements is necessary to support clinician
workflow. Increased interoperability should be developed between EHR systems and
patient’s mobile devices and telehealth systems.